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In this section, you will look at how you can use the .NET frameworks asynchronous programming model to avoid blocking threads during IO. The asynchronous programming model means using the pairs of Begin/End, such as the BeginRead/EndRead, on the Stream class. Typically you use these pairs of methods to perform some kind IO task, such as reading from a file. This method of programming has acquired a reputation for being difficult, mainly because you need to find a good way to store state between the Begin/End calls. This section will not cover the asynchronous programming model directly; instead, you ll look at how to use a feature of F# called asynchronous workflows to avoid some of the work associated with asynchronous programming model in other .NET languages. For a more detailed explanation of the asynchronous programming model and some of the difficulties in using them, please refer to Jeffrey Richter s MSDN article, Asynchronous Device Operations (http://msdn.microsoft.com/ en-us/magazine/cc163415.aspx). Asynchronous workflows are not exclusively for use with the .NET asynchronous programming model. In the next section, Message Passing, you ll see how you can use these workflows with F# s mailboxes to coordinate a number of different tasks. This will allow you to wait for tasks to complete without blocking threads. The first step in understanding asynchronous workflows in F# is to understand the syntax itself. To create an asynchronous workflow, you use monadic syntax, similar to the sequence expressions you saw in 3. The basic syntax is the keyword async with the workflow expression surrounded by curly brackets: async { ... }. A simple workflow program that uses workflows looks like this:

It cannot be stressed strongly enough that the Hammerora implementation of the TPC-C benchmark sample programs is not a full implementation of a TPC-C benchmark. The Hammerora implementation is based upon the specification appendix examples that may not adhere to all of the requirements of the benchmark. In addition, within the examples it is clearly stated that only the basic functionality of the TPC-C transactions themselves is supplied. All the other mandatory components for an official TPC-C benchmark, such as terminal I/O operations and miscellaneous functions, have been omitted from the examples. On the other hand, using this database portion of the benchmark only provides an acceptable compromise for implementing an intelligently designed database workload without the overhead, complexity, and cost of putting into practice the additional components that would limit the ease in which the benchmark could be run in any Oracle environment. For the reasons given previously, the transaction rates derived from a Hammerora load test can in no way whatsoever be compared with the tpmC rates derived from an official TPC-C benchmark. It is of vital importance that no confusion occurs in interpreting these transaction rates. As you have seen in 5 the official tpmC rates define the business transaction rate of the number of new orders recorded per minute while the application is also processing the other transactions. For Hammerora, you are recording the Oracle transaction rate as the total number of user commits and rollbacks per minute processed by every statement in the application. In a RAC environment this can be derived by executing the following statement and observing the delta value between subsequent executions:

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SOL> SELECT SUM(value) F O gv$sysstat W E E name = 'user consnits'^i RM HR O name = 'user r o l l b a c k s ' R

The Calendar server manager is controlled by the [CSM] section. The default installation has only one parameter in this section: [CSM] port = 5734 There is an optional password parameter that lets you specify a password required for remote administration. You should encrypt this with the uniencrypt utility before entering it into the file.

IWote The view v$sysmetric also contains a precalculated transaction rate metric under the METRIC_NAME of User Transaction Per Sec.

Using this technique for observing the commit rate it should be clear that the values derived are valid for only comparing one run of the TPC-C application with another run of exactly the same unmodified application It is extremely simple to modify the application to make it commit more frequently and artificially raise the recorded Oracle transaction rate The ultimate result of this, however, would most likely be to reduce the business transaction rate of the overall number of new orders recorded You can therefore only use the Oracle transaction rate as a guide to performance when the application remains unchanged For the same reason, the transaction rates recorded can in no way be used comparatively with the performance of a non-Oracle database or with another application.

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